Categories: Market Research

Embedded AI Market Forecast 2024-2033: Growth Rate, Drivers, And Trends

The Embedded AI Global Market Report 2024 by The Business Research Company provides market overview across 60+ geographies in the seven regions – Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa, encompassing 27 major global industries. The report presents a comprehensive analysis over a ten-year historic period (2010-2021) and extends its insights into a ten-year forecast period (2023-2033).

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According to The Business Research Company’s Embedded AI Global Market Report 2024, The embedded ai market size has grown rapidly in recent years. It will grow from $13.04 billion in 2023 to $14.6 billion in 2024 at a compound annual growth rate (CAGR) of 12.0%. The growth in the historic period can be attributed to miniaturization of hardware components, increasing demand for smart devices, growing connectivity and iot, improvements in edge computing, rise of wearable devices

The embedded ai market size is expected to see rapid growth in the next few years. It will grow to $23.05 billion in 2028 at a compound annual growth rate (CAGR) of 12.1%. The growth in the forecast period can be attributed to enhanced energy efficiency in embedded systems, expansion of industrial automation, increased demand for edge ai in healthcare, expansion of 5g networks, enhanced security measures in embedded ai

Major trends in the forecast period include integration of ai in consumer electronics, development of ai-optimized processors, advances in semiconductor technology, ai-optimized microcontrollers, edge ai in robotics and drones, edge ai for sustainable and green computing.

An increase in industrial automation is expected to propel the growth of the embedded AI market going forward. Industrial automation uses advanced technologies, control systems, and machinery to automate industrial processes and operations. Embedded AI is widely used in industrial automation to enhance productivity, efficiency, and decision-making in manufacturing and production processes. It is used for machine vision, quality control, predictive maintenance, and robotics automation. For instance, in February 2022, according to the International Federation of Robotics, a Germany-based non-profit organization, 23,000 industrial robots were operating in UK factories in 2021, an increase of 6% from the previous year. Further, sales of new robots were up by 8% to 2,205 units in 2020. Therefore, the increase in industrial automation is driving the growth of the embedded AI market.

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The embedded ai market covered in this report is segmented –

1) By Offering: Hardware, Software, Services

2) By Data Type: Sensor Data, Image And Video Data, Numeric Data, Categorial Data, Other Data Types

3) By Application: Smart Phone, Wearable Device, Vehicle Electronics, Smart Home, Security Monitoring, Drone, Robot, Other Applications

4) By Vertical: Banking, Financial Services And Insurance (BFSI), Information Technology (IT) And Information Technology Enabled Services (ITES), Retail And Ecommerce, Manufacturing, Healthcare And Life Sciences, Media And Entertainment, Telecom, Automotive, Other Verticals

Innovation of technological products are a key trend gaining popularity in the embedded AI market. Major companies operating in the embedded AI market are focused on developing innovative technological products to sustain their position in the market. For instance, in May 2023, Cognex Corporation., a US-based system software company, launched the Advantage 182 vision system, an embedded AI-based vision system. This innovative product is designed to automate complex location, classification, and inspection tasks in the life sciences industry. The Advantage 182 includes advanced machine vision, barcode reading, and edge learning technology to automate tasks, from simple presence/absence detection and track-and-trace applications to high-precision alignment and complex color inspections. Additionally, it includes such application features as test tube detection and classification, measuring the phases of centrifuged blood, and identifying pathology samples.

The embedded ai market report table of contents includes: